TrendGen: An Outfit Recommendation and Display System

TL;DR

TrendGen is a Fashion AI system that improves online outfit recommendations and image presentation by leveraging computer vision and generative AI, demonstrating high-quality results in real-world e-commerce applications.

Contribution

It introduces a novel system combining outfit recommendation and image transformation to enhance online fashion shopping experiences.

Findings

Consistently high-quality outfit suggestions generated.

Effective transformation of raw images into clear lay-down views.

Successful deployment on a major e-commerce platform.

Abstract

Recent advances in Computer Vision have significantly improved image understanding and generation, revolutionizing the fashion industry. However, challenges such as inconsistent lighting, non-ideal garment angles, complex backgrounds, and occlusions in raw images hinder their full potential. Overcoming these obstacles is crucial for developing robust fashion AI systems capable of real-world applications. In this paper, we introduce TrendGen, a Fashion AI system designed to enhance online shopping with intelligent outfit recommendations. Deployed on a major e-commerce platform, TrendGen leverages cloth images and product attributes to generate trend-aligned, cohesive outfit suggestions. Additionally, it employs Generative AI to transform raw images into high-quality lay-down views, offering a clear and structured presentation of garments. Our evaluation on production data demonstrates TrendGen's consistent high-quality outfits and lay-down images, marking a significant advancement in AI-driven solutions for fashion retail.